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The interest in technologies likeAIand ML is soaring globally.
Theyre increasingly excited to experiment with it.
However, many startups and businesses find it challenging to get started with machine learning while building their products.
Whether finding relevant machine learning experts or understanding and leveraging the technology, things get tricky in their execution.
Low-code and no-code machine learning platforms are built to solve such issues.
This helps fill the voids in your business.
This way, they are opening up new trends and accessibility to a broader group of thinkers and creators.
What Are Low-Code and No-Code Platforms?
Low-code refers to asoftware developmentmethodology that needs little to no coding while building applications and systems.
And the software system with this capability is what you’re free to call a low-code platform.
Low-code is a midway between no-code and manual coding.
And you could still add your code over the automatically generated code if you want.
Apart from faster coding, low-code platforms enable quick software setup and deployment.
No-code refers to a software development approach that allows users to build software systems without writing code.
And the software with this capability is a no-code platform.
Why Should You Use a Low-Code or No-Code Platform?
Low-code and no-code platforms reduce coding complexity through pre-configured templates and visual interfaces.
MakeML
Create object segmentation and detection ML models withMakeMLwithout manual coding.
It allows you to create a rich dataset easily and manage it well.
you could also train your ML models and test them to preview their actions.
it’s possible for you to also learn Machine Learning via video guides on your mobile gear.
MakeML tutorial includes:
And so on.
The experienced MakeML team will help you create a Computer Vision solution and integrate the solution into your product.
Get free dataset import/export options for a specific range andGPU cloudtraining (only one).
you’re free to also avail of more benefits at a starting range of $8.83/month.
Obviously AI
Predict data within minutes withObviously AIMachine Learning platform without writing a single line of code.
Furthermore, Obviously AI puts the most cutting-edge algorithms and technologies in your hands without sacrificing performance.
It can help you forecast revenue, optimize the supply chain, and personalize marketing.
Obviously AI is designed to provide an effortless solution for everyone.
you’ve got the option to add or integrate a CSV file with your data sources.
Understand factors that influence the predictions and predict outcomes with scenarios like what-if.
Deep dive into the algorithm specifications, discover competing models, and comprehend how the models work.
SuperAnnotate
Build SuperData withSuperAnnotatefor your AI.
Annotate video, text, and image with data throughput and build high-quality datasets using best-in-class services and toolset.
Fuel your model to succeed in the field through powerfulproject managementfeatures and team collaboration.
It offers active learning and automation features that help you make your annotation process faster.
SuperAnnotate also provides a security-first platform built to consolidate pipelines of every complexity and size.
Book a demo today and understand its importance in your business.
For an early-stage startup company, it comes in handy and is accessible.
Start a new project now or open an existing project from a file or drive.
It helps you create ML models easily withApples Create MLand train them well on your Mac.
Some of the valuable features are:
Create ML has different model types.
Later, you’re free to add data and parameters that allow your machine to learn.
PyCaret
PyCaretis a low-code and open-source machine-learning platform that can automate your machine-learning workflows through Python.
PyCaret is designed modular, allowing each model to perform specific machine learning tasks.
Here, functions are the sets of actions that perform tasks in a specified workflow.
PyCaret empowers almost everyone to build robust, low-code, and end-to-end machine learning solutions.
you might learn through a quick start demo, blog, videos, and discussion.
PyCaret is ideal for data science professionals and data science enthusiasts.
Anyone can easily use this platform without having coding knowledge.
No need to upload your data to the cloud, directly train on your system for free.
Lobe is available for Windows and Mac.
In addition, you’ve got the option to export or ship your model on any platform.
It will opt for perfect machine learning architecture automatically for your project.
In addition, combine and filter these insights by data inputs, including custom fields and dates.
MonkeyLearn lets you use the ready-made machine learning models and allows you to build your own.
you’re able to also quickly build sentiment analysis, topic classifiers, entity extractors, etc.
Moreover, train your ML models in a simple UI by importing datasets and defining custom tags.
MonkeyLearn also provides tailored business templates, keeping different scenarios in mind.
All the templates include pre-made text analysis and dashboards.
Book a free demo and learn how MonkeyLearn can help you.
These platforms will help you upload your custom models or train them using various tools.
This will further help you bring your creativity in front of billions of people.
